{"id":862791,"date":"2025-07-15T23:13:34","date_gmt":"2025-07-16T04:13:34","guid":{"rendered":"https:\/\/newsycanuse.com\/index.php\/2025\/07\/15\/what-cios-can-do-to-convert-ai-hype-into-tangible-business-outcomes\/"},"modified":"2025-07-15T23:13:34","modified_gmt":"2025-07-16T04:13:34","slug":"what-cios-can-do-to-convert-ai-hype-into-tangible-business-outcomes","status":"publish","type":"post","link":"https:\/\/newsycanuse.com\/index.php\/2025\/07\/15\/what-cios-can-do-to-convert-ai-hype-into-tangible-business-outcomes\/","title":{"rendered":"What CIOs can do to convert AI hype into tangible business outcomes"},"content":{"rendered":"
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\n\t\t\t\tAI priorities in the enterprise aren\u2019t always fully understood. Technologies and investment can work together or conspire against each other in equal measure. The approach for IT leaders in South Africa, for instance, is to proceed with caution.\t\t\t<\/h2>\n<\/p><\/div>\n
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In Foundry\u2019s AI Priorities Study 2025<\/a>, businesses reveal they\u2019re allocating more money to AI projects than ever before, with nearly half of organizations now dedicating budget for AI projects, up from 36% in 2023. Plus, they\u2019re allocating almost a quarter of IT spend to AI initiatives.<\/p>\n

While some are taking a more measured approach than others, the consensus among South African tech leaders in particular is that AI investments must deliver tangible results, and that AI budgets have to be channelled strategically across the business. At financial services group Sanlam, it\u2019s less about upping AI budgets, says group CIO Theo Mabaso, and more about allocating more of the budget toward high-impact areas. \u201cAfter a period of experimentation, launching multiple AI outcomes and learning by doing,\u201d he says, \u201cwe\u2019ve figured out where the objective AI value is concentrated, and have thus narrowed our focus to delivering fewer but higher impact AI outcomes that deliver ROI for the group.\u201d<\/p>\n

For example, it\u2019s understood that gen AI assists productivity and enables employees to focus on high-value tasks. And Sanlam has seen time saving and benefits through the likes of GitHub CoPilot, and using LLMs<\/a> to review lengthy contracts against standard terms and conditions. \u201cHowever, we recognize that productivity doesn\u2019t always drive objective metrics, so we\u2019re critical of where we deploy such technologies,\u201d he says. \u201cWe look for an area where a variable can be affected to create an objective downstream effect, as opposed to large-scale deployments of productivity tools that deliver soft benefits tied to multi-year contracts.\u201d\u00a0<\/p>\n<\/div>\n

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\"Werner
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Werner Leithg\u00f6b, Lactalis Southern Africa<\/p>\n<\/figcaption><\/figure>\n

Lactalis<\/p>\n<\/div>\n

Werner\u00a0Leithg\u00f6b, IT director of\u00a0dairy manufacturer Lactalis\u00a0Southern Africa, agrees. He believes the elevated hype around AI only scratches the surface of what these tools can do. \u201cWhen the Amazon Alexa first came out, everybody thought it was so awesome because you could interact with the devices in your home ecosystem using voice commands. But I guarantee that 99% of consumers who have one use it purely to stream music. So, essentially it\u2019s a glorified speaker. For me, AI is very similar. In order to utilize this technology properly, you have to be very deliberate and define clear use cases<\/a> for it so people can see what value it adds.\u201d As part of being deliberate, he says, you must regularly use the technology so it becomes part of how you work.<\/p>\n

Maximizing potential<\/h2>\n

As use cases evolve, just experimenting with AI for the sake of innovation doesn\u2019t cut it anymore, says Jenny Mohanlall, senior director for IT at DHL South Africa. \u201cIt\u2019s about leveraging it to solve real problems, drive efficiency, and create meaningful impact,\u201d she says. For most organizations, AI priorities are focused on enhancing the customer experience<\/a> and revolutionizing operations and ways of working.<\/p>\n

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\"Jenny
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Jenny Mohanlall, DHL South Africa<\/p>\n<\/figcaption><\/figure>\n

DHL<\/p>\n<\/div>\n

The findings of Foundry\u2019s AI Priorities Study support this, highlighting that IT departments are more readily partnering with other business units, like customer service and marketing, to ensure AI adoption aligns with broader business goals. By leveraging AI tools to streamline and improve something like customer support, it\u2019s possible to free up human agents to tackle more complex issues. And by using sentiment analysis tools to dig into customer feedback, businesses can identify areas for improvement and handle issues before they escalate. \u201cSome even take it a step further with predictive support, where AI anticipates customer needs and proactively addresses issues before they escalate,\u201d says Mohanlall. \u201cImagine a scenario where a chatbot not only answers questions but also predicts what a customer might need next based on their behavior. This is the kind of innovation that\u2019s transforming customer service.\u201d<\/p>\n<\/div>\n

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AI in action<\/h2>\n

As part of their efforts to democratize financial guidance, build financial literacy, and support financial decisions in a simplified way, Sanlam developed an AI product called Coach. The first iteration was a free tool available 24\/7 designed to enhance financial literacy and empower users to manage their credit more effectively.\u00a0<\/p>\n

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\"Theo
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Theo Mabaso, Sanlam<\/p>\n<\/figcaption><\/figure>\n

Sanlam<\/p>\n<\/div>\n

The technology behind Coach included advanced data and analytics, and utilized 40 LLMs to provide hyper-personalized financial guidance to users so they can make informed financial decisions based on their unique context, says Mabaso. \u201cIn its first few months, the product facilitated 45,000 unique conversations and thousands of loan applications at a conversion rate three times higher than that of web or WhatsApp channels,\u201d he says.\u00a0The second iteration of Coach, released a few months later, delivered a gen AI-driven money personality assessment designed to help clients uncover their unique financial behaviors, enabling Sanlam to tailor financial advice. It also empowers their advisors to offer customers the best solutions to help them meet their financial goals.\u00a0<\/p>\n

Speaking broadly about how AI is transforming logistics, Mohanlall says AI initiatives are redefining what\u2019s possible by helping the industry to better manage unpredictability. \u201cFor example, by analyzing historical data, weather patterns, traffic conditions, and even global events, businesses can predict demand and optimize delivery routes in real-time.\u201d<\/p>\n<\/div>\n

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For Leithg\u00f6b, the journey is just starting but he isn\u2019t worried about falling behind because he understands the importance of doing the necessary groundwork for AI success. \u201cWe\u2019ve got a bunch of Copilot licenses and we\u2019re testing it with certain users, encouraging them to play with it, try out different prompts, and educate themselves on how to use it,\u201d he says. \u201cLet\u2019s get people familiar with it while we lay the necessary data foundations.\u201d Right now, he admits, getting their data in order<\/a> is the main priority. \u201cAI thrives on data, so if your data is a mess, your AI is also going to be a mess,\u201d he adds. \u201cIf you want to generate useful insights from vast amounts of data, you need the right tools but you also need the right data.\u201d<\/p>\n

For these tech leaders, the goal is to use AI to minimize manual and repetitive tasks, streamline processes, and unlock fresh insights. But ultimately, all of these efforts should come together to help the business cut costs, increase sales, and lift profits.<\/p>\n<\/div>\n<\/div><\/div>\n

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Tyisha Motsinger
Read More<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

AI priorities in the enterprise aren\u2019t always fully understood. Technologies and investment can work together or conspire against each other in equal measure. The approach for IT leaders in South Africa, for instance, is to proceed with caution. In Foundry\u2019s AI Priorities Study 2025, businesses reveal they\u2019re allocating more money to AI projects than ever<\/p>\n","protected":false},"author":1,"featured_media":862792,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[40787,87799],"tags":[17510,145322],"class_list":{"0":"post-862791","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-convert","8":"category-tangible","9":"tag-convert","10":"tag-tangible"},"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/posts\/862791","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/comments?post=862791"}],"version-history":[{"count":0,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/posts\/862791\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/media\/862792"}],"wp:attachment":[{"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/media?parent=862791"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/categories?post=862791"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/tags?post=862791"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}